About the team:

Within the Global Operations organisation, our mission is to build the best customer experience in the fintech industry by delivering an effortless experience to all our merchants. We are seeking a skilled and passionate Data Scientist to join our talented AI and Data Team and contribute to the development of customer behavioural models and algorithms that will drive our customer support service to new heights, by identifying customers at risk and supporting Customer Success teams to prioritize high-value customers in their campaigns.

As a Data Scientist at SumUp, you will be responsible for designing, testing and implementing behavioural models and evaluating the effectiveness of real campaigns for different channels in support and across the company. You will directly impact the revenue of the company by developing, improving and scaling state-of-the-art ML models such as churn prediction, identification of seasonality businesses, segmentation prediction for early merchants right after signup, and CLV among others. Your expertise will be crucial in driving the success of our initiatives. You will work closely with cross-functional teams, analysts, ML engineers, data scientists and product managers, to translate business requirements into ML solutions. Your contributions will shape the future of our company and help us grow healthy with a customer-centric focus.

 

What you’ll do

Design, develop, analyse, and evaluate customer behaviour models such as churn prediction, seasonality trends, customer segmentation, and CLV. Utilise machine learning techniques (supervised and unsupervised) and statistical methods for hypothesis testing (experimentation) to optimise business needs. Clean and manipulate large datasets using SQL and big data tools. Visualise insights and results, and present findings to stakeholders across the organisation. Own end-to-end implementation of models, from design to production and measurement strategies. Make recommendations and derive insights based on analysis and models, evaluating their impact on the business. Collaborate with cross-functional teams to implement data-driven strategies. Regularly exchange knowledge with Data Scientists at various levels of seniority within the company.

 

You’ll be great for this position if you have:

3+ years of experience working with customer behavioural models. Excellent understanding of AI/ML and Statistics, along with practical experience in hypothesis testing. Coding proficiency in Python, including experience with open-source libraries and frameworks such as scikit-learn, numpy, and pandas. Strong adherence to coding best practices and a commitment to delivering high-quality production code. Experience working both independently and as a key team member. Ability to explain data storytelling, analysis, and insights to business leaders and both technical and non-technical stakeholders. Flexibility and a proactive approach, with the capability to handle diverse tasks in a fast-paced environment.

 

Why you should join SumUp: